amazon-product-photography

amazon-product-photography is a skill for Codex from nexscope-ai/Amazon-Skills. It costs 81 tokens per session (2,501 once invoked), scanned A, original, MIT.

A production plan for Amazon product photography, including listing images, infographics, lifestyle scenes, and handoff instructions. It distinguishes the required main image from additional images used to explain or sell the product.

In plain words
What is it for?
Use it to create shot lists, image briefs, budgets, review checklists, and production recommendations for Amazon listings.
Why use it?
It removes guesswork for sellers, photographers, designers, and image-generation workflows. It also flags platform-specific changes when reusing images for other shops or advertising channels.

Skill for Codex

Written for Codex: agents/openai.yaml present.

not rated 655repo +26 16d ago A scan Socket: passSnyk: passSkillSpector: warn 81 tokens original MIT

Good fit Use it to create shot lists, image briefs, budgets, review checklists, and production recommendations for Amazon listings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nexscope-ai/amazon-skills/amazon-product-photography
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add nexscope-ai/Amazon-Skills --skill amazon-product-photography
Clone the repo
git clone --depth 1 https://github.com/nexscope-ai/Amazon-Skills

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for amazon-product-photography

README.md
[![agentmods](https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-product-photography/github.svg)](https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-product-photography)
Your own site
<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-product-photography"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-product-photography/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for amazon-product-photography

Your own site · 80×15
<a href="https://agentmods.dev/skills/nexscope-ai/amazon-skills/amazon-product-photography"><img src="https://agentmods.dev/badge/skills/nexscope-ai/amazon-skills/amazon-product-photography.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,501 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 9 Apr 2026
  • Snyk pass 9 Apr 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 13
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.02501
Opus 5 $0.00041 $0.01251
Sonnet 5 $0.00016 $0.00500
Haiku 4.5 $0.00008 $0.00250

Measured 12d ago against content hash e2ebbf4863f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

amazon-product-photography scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

amazon-product-photography/SKILL.md · 240 lines

How it starts

The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amazon Product Photography

Turn product facts and listing goals into a production-ready image plan that a seller, designer, photographer, or image-generation workflow can execute without guessing.

Installation

npx skills add nexscope-ai/Amazon-Skills --skill amazon-product-photography -g

Capabilities

  • Define the visual objective and required image set for an Amazon listing.
  • Build a sequenced shot list with composition, props, lighting, crop, and deliverable notes.
  • Write infographic, lifestyle, detail, scale, packaging, and variation briefs.
  • Separate main-image compliance from secondary-image persuasion.
  • Recommend DIY, self-service AI generation, professional production, or a hybrid workflow.
  • Create a production checklist, review rubric, and asset-handoff package.
  • Adapt reusable assets for Amazon, Shopify, TikTok Shop, Walmart, and paid ads while flagging platform-specific rework.

Usage Examples

Plan an Amazon photo shoot for my insulated lunch bag.
Create a seven-image brief for a skincare serum, including the main image, ingredients, texture, and two lifestyle scenes.
I have one clean product photo and a small budget. Tell me which images I can generate, which ones need a designer, and what to send the production team.
Turn these product details and brand references into a shoot-ready brief for Amazon US and Shopify.

Inputs and Collection

Use supplied facts before asking questions. Collect the minimum information needed:

  • product name, category, included components, variants, and exact physical appearance;
  • target Amazon marketplace and any additional channels;
  • product dimensions, materials, functions, differentiators, and substantiated claims;
  • target buyer, use cases, brand style, and competitor or reference images;
  • available source assets, packaging, models, locations, and brand files;
  • desired image count, deadline, budget range, and production preference;
  • known category restrictions, certifications, or required disclaimers.

Read the full file on GitHub · 240 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 240 lines · 81 tokens per session scan A e2ebbf4863f3

Subscribe to this mod's changes

amazon-product-photography is a skill published in the GitHub repository nexscope-ai/Amazon-Skills (655 stars, last pushed 16d ago), licensed MIT. It adds 81 tokens to every session and 2,501 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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